How to Estimate a Cumulative Process's Rate-Function (2004)
by
Ken Duffy
,
Anthony P. Metcalfe
BibTeX
@MISC{Duffy04howto,
author = {Ken Duffy and Anthony P. Metcalfe},
title = {How to Estimate a Cumulative Process's Rate-Function},
year = {2004}
}
OpenURL
Abstract
Consider two sequences of bounded random variables, a value and a timing process, that satisfy the large deviation principle (LDP) with rate-function J( , ) and whose cumulative process satisfies the LDP with rate-function I(). Under mixing conditions, an LDP for estimates of I constructed by transforming an estimate of J is proved. For the case of cumulative renewal processes it is demonstrated that this approach is favorable to a more direct method as it ensures the laws of the estimates converge weakly to a Dirac measure at I .







